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Classification of Mental Tasks from EEG Signals Using Spectral Analysis, PCA and SVM Cover

Classification of Mental Tasks from EEG Signals Using Spectral Analysis, PCA and SVM

Cybernetics and Information Technologies
Volume 18 (2018): Issue 1 (March 2018)
By: Nikolay N. Neshov,  Agata H. Manolova,  Ivo R. Draganov,  Krasimir T. Tonschev and  Ognian L. Boumbarov  
Open Access
|Mar 2018

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DOI: https://doi.org/10.2478/cait-2018-0007 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 81 - 92
Submitted on: Nov 28, 2017
Accepted on: Dec 20, 2017
Published on: Mar 30, 2018
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
ElectroEncephaloGraphy (EEG),
Brain Computer Interface (BCI),
Fast Fourier Transform (FFT),
Principal Component Analysis (PCA),
Support Vector Machine (SVM)
Related subjects:
Computer sciences,
Information technology

© 2018 Nikolay N. Neshov, Agata H. Manolova, Ivo R. Draganov, Krasimir T. Tonschev, Ognian L. Boumbarov, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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